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[会议论文] 作者：HuaqiangWu;,
来源：2014中国国际石墨烯创新大会 年份：2014
A CMOS compatible graphene integrated circuit technology is developed.In contrast to traditional Si CMOS technology, this creative process is inverted proce...
Preface to the Special Issue on Beyond Moore: Resistive Switching Devices for Emerging Memory and Ne
[期刊论文] 作者：YueHao,HuaqiangWu,YuchaoYang,QiLiu,XiaoGong,GenquanHan,MingLi,
来源：JournalofSemiconductors 年份：2021
Abstract...
Oscillation neuron based on a low-variability threshold switching device for high-performance neurom
[期刊论文] 作者：YujiaLi,JianshiTang,BinGao,XinyiLi,YueXi,WanrongZhang,HeQian,HuaqiangWu,
来源：JournalofSemiconductors 年份：2021
Low-power and low-variability artificial neuronal devices are highly desired for high-performance neuromorphic computing. In this paper, an oscillation neuron based on a low-variability Ag nanodots (NDs) threshold switching (TS) device with......
[期刊论文] 作者：TiankuangZhou,LuFang,TaoYan,JiaminWu,YipengLi,JingtaoFan,HuaqiangWu,XingLin,QionghaiDai,
来源：PhotonicsResearch 年份：2020
Training an artificial neural network with backpropagation algorithms to perform advanced machine learning tasks requires an extensive computational process. This paper proposes to implement the backpropagation algorithm optically for in si......
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